Xiawu Zheng
55 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
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Cross-Pollinator
(8)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(82)
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Dynamic Duo
(32)
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Mega-Team
(28)
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Grand Slam
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Unstoppable
(8)
ποΈ
Keyword Collector
(172)
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Century Club
(53)
β‘
Prolific Year
(16)
π
Conference Pioneer
Conferences
CVPR (12)
AAAI (11)
ICLR (8)
ICML (8)
ICCV (7)
ECCV (3)
ACL (2)
IJCAI (2)
COLING (1)
NIPS (1)
Top co-authors
Keywords
neural architecture search
(7)
model compression
(5)
blind image quality assessment
(4)
object detection
(4)
convolutional neural network
(3)
semi-supervised learning
(3)
model quantization
(3)
semantic segmentation
(3)
knowledge distillation
(3)
diffusion model
(3)
architecture optimization
(3)
large language model
(3)
contrastive learning
(2)
multimodal large language model
(2)
image quality assessment
(2)
random forest
(2)
post-training quantization
(2)
efficient computing
(2)
incremental learning
(2)
feature learning
(2)
Papers
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension
AAAI 2026
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
AAAI 2026
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
CVPR 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
ICCV 2025
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation
AAAI 2025
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
ICCV 2025
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning
ICCV 2025
Feature Denoising Diffusion Model for Blind Image Quality Assessment
AAAI 2025
Dynamic Clustering Convolutional Neural Network
AAAI 2025
Data Interpreter: An LLM Agent for Data Science
ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization
ACL 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation
COLING 2025
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
ICML 2025
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
ICML 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models
ICLR 2025
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
ICLR 2025
Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
ICLR 2025
Multimodal Quantitative Language for Generative Recommendation
ICLR 2025
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
ICML 2025
polybasic Speculative Decoding Through a Theoretical Perspective
ICML 2025
Multi-branch Collaborative Learning Network for 3D Visual Grounding
ECCV 2024
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning
AAAI 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
CVPR 2024
GraCo: Granularity-Controllable Interactive Segmentation
CVPR 2024
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
CVPR 2024
RepAn: Enhanced Annealing through Re-parameterization
CVPR 2024
Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents
ECCV 2024
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
ICLR 2024
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
ICLR 2024
AffineQuant: Affine Transformation Quantization for Large Language Models
ICLR 2024
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
ICML 2024
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
ICML 2024
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
ICML 2024
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
ICML 2024
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
IJCAI 2024
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
ICCV 2023
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
NIPS 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
CVPR 2023
Meta Architecture for Point Cloud Analysis
CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR 2023
A Unified Framework for Soft Threshold Pruning
ICLR 2023
OMPQ: Orthogonal Mixed Precision Quantization
AAAI 2023
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle
ICCV 2023
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
AAAI 2023
Training-Free Transformer Architecture Search
CVPR 2022
Neural Architecture Search With Representation Mutual Information
CVPR 2022
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS
ICCV 2021
Binarized Neural Architecture Search
AAAI 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale
ECCV 2020
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
AAAI 2019
Multinomial Distribution Learning for Effective Neural Architecture Search
ICCV 2019
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI 2018